Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | LAPORTE Christophe | 76 |
2 | ROGLIČ Primož | 65 |
3 | VAN AERT Wout | 78 |
4 | LATOUR Pierre | 66 |
5 | FEDOROV Yevgeniy | 80 |
6 | PEDERSEN Mads | 76 |
7 | GIRMAY Biniam | 70 |
8 | GARCÍA CORTINA Iván | 77 |
9 | WRIGHT Fred | 75 |
10 | GOUGEARD Alexis | 70 |
11 | FRISON Frederik | 84 |
12 | PHILIPSEN Jasper | 75 |
13 | SÉNÉCHAL Florian | 77 |